Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Germany
- France
- Sweden
- Belgium
- China
- Austria
- Canada
- Poland
- Australia
- Netherlands
- Hong Kong
- Spain
- Denmark
- Singapore
- Portugal
- United Arab Emirates
- Czech
- India
- Italy
- Latvia
- Andorra
- Luxembourg
- South Africa
- Ireland
- Lithuania
- Croatia
- Cyprus
- Romania
- Armenia
- Estonia
- New Zealand
- Norway
- Saudi Arabia
- Switzerland
- Barbados
- Bulgaria
- Europe
- Greece
- Indonesia
- Japan
- Malta
- Morocco
- Qatar
- Slovenia
- Worldwide
- 37 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Biology
- Science
- Mathematics
- Social Sciences
- Business
- Arts and Literature
- Education
- Psychology
- Chemistry
- Humanities
- Linguistics
- Electrical Engineering
- Materials Science
- Environment
- Design
- Physics
- Earth Sciences
- Sports and Recreation
- Law
- Philosophy
- 14 more »
- « less
-
Multi-modal Machine Learning—including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers the opportunity to explore human
-
biology/bioinformatics, statistics, machine learning or related field. You will have a strong track record of applying genetics-based, physicochemistry-based and structure-based computational or statistical
-
. Into the second year, the project moves toward methodology refinement and Machine Learning integration. The student will execute a more ambitious cycle with a complex alloy system and integrate machine learning
-
Candidates MD, DO, MBBS, PhD, EdD, or equivalent in a related field such as the health sciences, education or other field given context of work experience and/or other qualifications. Qualified for a faculty
-
. This project will develop responsive manufacturing technology that will have sufficient flexibility to overcome such problems by utilizing intelligent machine learning to control the printing process in real
-
minimizing computational and energy costs. The proposed approaches will rely on machine learning methods applied to image analysis, with the objective of enabling early identification of at risk areas and
-
through applied research programmes. Faculty in the ICT Cluster undertake funded industry-relevant research, teach courses in Computer Science, Computer Engineering, Information Security and Software
-
About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling, architectural history, technology, or project case studies
-
, G. et al. Machine learning and wearable sensors for automated Parkinson’s disease diagnosis aid: a systematic review. J Neurol 271, 6452–6470 (2024). https://doi.org/10.1007/s00415-024-12611-x Nayan
-
applications. The project integrates: Computational Fluid Dynamics (CFD) and multiphase flow modeling Radiative heat transfer Machine learning and reduced-order modeling Data-driven optimization for industrial